Sometimes the most difficult thing about AI is simply knowing where to start. Identifying potentially impactful use cases is one of the most cited roadblocks for organizations seeking to leverage AI in their business.
Whitepaper from | RapidMiner
Amidst the Industry 4.0 revolution, manufacturers are embracing cyber-physical systems and predictive analytics to drive astounding levels of innovation. In fact, across all industries, manufacturing is expected to generate 1/3 of the world’s investment in AI systems in 2019.
To complicate things further, best practices dictate that you should have a portfolio of use cases ready to experiment with. If finding one is a challenge, developing a whole portfolio of use cases may prove to be very difficult.
Luckily, RapidMiner has you covered. We’ve compiled 50 high-impact use cases from our customers that you can choose from. This library cuts across all industries, and even explains how you can draw inspiration from use cases that are outside of your industry or domain.
- A wide variety of intuitive (and some not-so-obvious) applications for AI in enterprises.
- The challenges that led each business to seek help from AI & ML.
- The advanced solutions that were built and deployed to overcome each challenge.
- The documented financial impact experienced by each client.
The content & opinions in this article are the author’s and do not necessarily represent the views of ManufacturingTomorrow
RapidMiner brings artificial intelligence to the enterprise through an open and extensible data science platform. Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. More than 500,000 analytics professionals use RapidMiner products to drive revenue, reduce costs, and avoid risks.
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